python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "NP.csv" --strategy-args '{"horizon": 24, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 24, "lr": 0.001, "lradj": "sigmoid", "mlp_hidden_dims": 64, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 168}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "NP/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "NP.csv" --strategy-args '{"horizon": 360, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 360, "lr": 0.001, "lradj": "sigmoid", "mlp_hidden_dims": 64, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 720}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "NP/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "PJM.csv" --strategy-args '{"horizon": 24, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 24, "lr": 0.001, "lradj": "type3", "mlp_hidden_dims": 128, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 168}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "PJM/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "PJM.csv" --strategy-args '{"horizon": 360, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 360, "lr": 0.001, "lradj": "type3", "mlp_hidden_dims": 128, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 720}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "PJM/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "BE.csv" --strategy-args '{"horizon": 24, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 24, "lr": 0.0003, "lradj": "sigmoid", "mlp_hidden_dims": 32, "norm": true, "num_epochs": 20, "patience": 3, "seq_len": 168}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "BE/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "BE.csv" --strategy-args '{"horizon": 360, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 360, "lr": 0.0003, "lradj": "sigmoid", "mlp_hidden_dims": 32, "norm": true, "num_epochs": 20, "patience": 3, "seq_len": 720}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "BE/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "FR.csv" --strategy-args '{"horizon": 24, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 24, "lr": 0.0001, "lradj": "type3", "mlp_hidden_dims": 256, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 168}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "FR/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "FR.csv" --strategy-args '{"horizon": 360, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 360, "lr": 0.0001, "lradj": "type3", "mlp_hidden_dims": 256, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 720}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "FR/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "DE.csv" --strategy-args '{"horizon": 24, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 24, "lr": 0.0005, "lradj": "type3", "mlp_hidden_dims": 256, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 168}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "DE/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "DE.csv" --strategy-args '{"horizon": 360, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 360, "lr": 0.0005, "lradj": "type3", "mlp_hidden_dims": 256, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 720}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "DE/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Energy.csv" --strategy-args '{"horizon": 24, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 24, "lr": 0.0005, "lradj": "type3", "mlp_hidden_dims": 256, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 168}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Energy/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Energy.csv" --strategy-args '{"horizon": 360, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 360, "lr": 0.0005, "lradj": "type3", "mlp_hidden_dims": 256, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 720}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Energy/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Sdwpfm1.csv" --strategy-args '{"horizon": 24, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 24, "lr": 1e-05, "lradj": "type3", "mlp_hidden_dims": 32, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 168}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Sdwpfm1/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Sdwpfm1.csv" --strategy-args '{"horizon": 360, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 360, "lr": 1e-05, "lradj": "type3", "mlp_hidden_dims": 32, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 720}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Sdwpfm1/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Sdwpfm2.csv" --strategy-args '{"horizon": 24, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 24, "lr": 5e-05, "lradj": "sigmoid", "mlp_hidden_dims": 32, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 168}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Sdwpfm2/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Sdwpfm2.csv" --strategy-args '{"horizon": 360, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 360, "lr": 5e-05, "lradj": "sigmoid", "mlp_hidden_dims": 32, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 720}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Sdwpfm2/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Sdwpfh1.csv" --strategy-args '{"horizon": 24, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 24, "lr": 5e-05, "lradj": "sigmoid", "mlp_hidden_dims": 32, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 168}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Sdwpfh1/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Sdwpfh1.csv" --strategy-args '{"horizon": 360, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 360, "lr": 5e-05, "lradj": "sigmoid", "mlp_hidden_dims": 32, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 720}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Sdwpfh1/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Sdwpfh2.csv" --strategy-args '{"horizon": 24, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 24, "lr": 5e-05, "lradj": "sigmoid", "mlp_hidden_dims": 32, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 168}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Sdwpfh2/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Sdwpfh2.csv" --strategy-args '{"horizon": 360, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 360, "lr": 5e-05, "lradj": "sigmoid", "mlp_hidden_dims": 32, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 720}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Sdwpfh2/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Colbun.csv" --strategy-args '{"horizon": 10, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 128, "fusion_method": "mlp", "horizon": 10, "lr": 0.03, "lradj": "type3", "mlp_hidden_dims": 128, "norm": true, "num_epochs": 10, "patience": 3, "seq_len": 60}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Colbun/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Colbun.csv" --strategy-args '{"horizon": 30, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 128, "fusion_method": "mlp", "horizon": 30, "lr": 0.03, "lradj": "type3", "mlp_hidden_dims": 128, "norm": true, "num_epochs": 10, "patience": 3, "seq_len": 180}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Colbun/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Rapel.csv" --strategy-args '{"horizon": 10, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 10, "lr": 0.0005, "lradj": "sigmoid", "mlp_hidden_dims": 64, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 60}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Rapel/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Rapel.csv" --strategy-args '{"horizon": 30, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 30, "lr": 0.0005, "lradj": "sigmoid", "mlp_hidden_dims": 64, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 180}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Rapel/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTh1.csv" --strategy-args '{"horizon": 96, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 96, "lr": 0.0001, "lradj": "type3", "mlp_hidden_dims": 256, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTh1/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTh1.csv" --strategy-args '{"horizon": 192, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 192, "lr": 0.0001, "lradj": "type3", "mlp_hidden_dims": 256, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTh1/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTh1.csv" --strategy-args '{"horizon": 336, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 336, "lr": 0.0001, "lradj": "type3", "mlp_hidden_dims": 256, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTh1/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTh1.csv" --strategy-args '{"horizon": 720, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 720, "lr": 0.0001, "lradj": "type3", "mlp_hidden_dims": 256, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTh1/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTh2.csv" --strategy-args '{"horizon": 96, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 128, "fusion_method": "mlp", "horizon": 96, "lr": 0.0005, "mlp_hidden_dims": 128, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTh2/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTh2.csv" --strategy-args '{"horizon": 192, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 128, "fusion_method": "mlp", "horizon": 192, "lr": 0.0005, "mlp_hidden_dims": 128, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTh2/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTh2.csv" --strategy-args '{"horizon": 336, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 128, "fusion_method": "mlp", "horizon": 336, "lr": 0.0005, "mlp_hidden_dims": 128, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTh2/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTh2.csv" --strategy-args '{"horizon": 720, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 128, "fusion_method": "mlp", "horizon": 720, "lr": 0.0005, "mlp_hidden_dims": 128, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTh2/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTm1.csv" --strategy-args '{"horizon": 96, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 96, "lr": 0.0001, "lradj": "sigmoid", "mlp_hidden_dims": 256, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTm1/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTm1.csv" --strategy-args '{"horizon": 192, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 192, "lr": 0.0001, "lradj": "sigmoid", "mlp_hidden_dims": 256, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTm1/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTm1.csv" --strategy-args '{"horizon": 336, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 336, "lr": 0.0001, "lradj": "sigmoid", "mlp_hidden_dims": 256, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTm1/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTm1.csv" --strategy-args '{"horizon": 720, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 720, "lr": 0.0001, "lradj": "sigmoid", "mlp_hidden_dims": 256, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTm1/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTm2.csv" --strategy-args '{"horizon": 96, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 128, "fusion_method": "mlp", "horizon": 96, "lr": 0.0005, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTm2/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTm2.csv" --strategy-args '{"horizon": 192, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 128, "fusion_method": "mlp", "horizon": 192, "lr": 0.0005, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTm2/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTm2.csv" --strategy-args '{"horizon": 336, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 128, "fusion_method": "mlp", "horizon": 336, "lr": 0.0005, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTm2/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "ETTm2.csv" --strategy-args '{"horizon": 720, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 128, "fusion_method": "mlp", "horizon": 720, "lr": 0.0005, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "ETTm2/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Weather.csv" --strategy-args '{"horizon": 96, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 96, "lr": 0.001, "lradj": "type3", "mlp_hidden_dims": 1024, "norm": true, "num_epochs": 20, "patience": 3, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Weather/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Weather.csv" --strategy-args '{"horizon": 192, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 192, "lr": 0.001, "lradj": "type3", "mlp_hidden_dims": 1024, "norm": true, "num_epochs": 20, "patience": 3, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Weather/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Weather.csv" --strategy-args '{"horizon": 336, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 336, "lr": 0.001, "lradj": "type3", "mlp_hidden_dims": 1024, "norm": true, "num_epochs": 20, "patience": 3, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Weather/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Weather.csv" --strategy-args '{"horizon": 720, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 720, "lr": 0.001, "lradj": "type3", "mlp_hidden_dims": 1024, "norm": true, "num_epochs": 20, "patience": 3, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Weather/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Electricity.csv" --strategy-args '{"horizon": 96, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 128, "fusion_method": "mlp", "horizon": 96, "lr": 0.0005, "mlp_hidden_dims": 128, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Electricity/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Electricity.csv" --strategy-args '{"horizon": 192, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 128, "fusion_method": "mlp", "horizon": 192, "lr": 0.0005, "mlp_hidden_dims": 128, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Electricity/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Electricity.csv" --strategy-args '{"horizon": 336, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 128, "fusion_method": "mlp", "horizon": 336, "lr": 0.0005, "mlp_hidden_dims": 128, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Electricity/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Electricity.csv" --strategy-args '{"horizon": 720, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 128, "fusion_method": "mlp", "horizon": 720, "lr": 0.0005, "mlp_hidden_dims": 128, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Electricity/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Traffic.csv" --strategy-args '{"horizon": 96, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 96, "lr": 0.0001, "lradj": "sigmoid", "mlp_hidden_dims": 128, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Traffic/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Traffic.csv" --strategy-args '{"horizon": 192, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 192, "lr": 0.0001, "lradj": "sigmoid", "mlp_hidden_dims": 128, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Traffic/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Traffic.csv" --strategy-args '{"horizon": 336, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 336, "lr": 0.0001, "lradj": "sigmoid", "mlp_hidden_dims": 128, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Traffic/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Traffic.csv" --strategy-args '{"horizon": 720, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 720, "lr": 0.0001, "lradj": "sigmoid", "mlp_hidden_dims": 128, "norm": true, "num_epochs": 20, "patience": 5, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Traffic/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Exchange.csv" --strategy-args '{"horizon": 96, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 96, "lr": 0.0005, "lradj": "sigmoid", "mlp_hidden_dims": 128, "norm": true, "num_epochs": 20, "patience": 3, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Exchange/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Exchange.csv" --strategy-args '{"horizon": 192, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 192, "lr": 0.0005, "lradj": "sigmoid", "mlp_hidden_dims": 128, "norm": true, "num_epochs": 20, "patience": 3, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Exchange/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Exchange.csv" --strategy-args '{"horizon": 336, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 336, "lr": 0.0005, "lradj": "sigmoid", "mlp_hidden_dims": 128, "norm": true, "num_epochs": 20, "patience": 3, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Exchange/xPatch"

python ./scripts/run_benchmark.py --config-path "rolling_forecast_config.json" --data-name-list "Exchange.csv" --strategy-args '{"horizon": 720, "target_channel": [-1]}' --model-name "xpatch.xPatch" --model-hyper-params '{"batch_size": 64, "fusion_method": "mlp", "horizon": 720, "lr": 0.0005, "lradj": "sigmoid", "mlp_hidden_dims": 128, "norm": true, "num_epochs": 20, "patience": 3, "seq_len": 96}' --gpus 0 --num-workers 1 --timeout 60000 --save-path "Exchange/xPatch"
